dlr | R Documentation |
The function computes Paetkau's et al. (1997) genotype likelihood ratio distance (Dlr).
dlr(
data,
strata,
plots = FALSE,
filename = NULL,
parallel.core = parallel::detectCores() - 1
)
data |
The output assignment file (home likelihood or likelihood ratio statistics) from GENODIVE. |
strata |
A tab delimited file with 2 columns with header:
|
plots |
(optional) Generate Dlr plots for all the pairwise populations
in the dataset. The plots are |
filename |
(optional) Name of the file prefix for the matrix and the table written in the working directory. |
parallel.core |
(optional) The number of core for parallel computation.
Default: |
A list with 5 objects:
the assignment results ($assignment),
the dlr pairwise table ($dlr.table),
the lower diagonal dlr distance matrix ($dlr.dist),
a data.frame with the dlr distance mirrored ($dlr.matrix),
the list of dlr plots ($dlr.plots)
Thierry Gosselin thierrygosselin@icloud.com
Paetkau D, Slade R, Burden M, Estoup A (2004) Genetic assignment methods for the direct, real-time estimation of migration rate: a simulation-based exploration of accuracy and power. Molecular Ecology, 13, 55-65.
Paetkau D, Waits LP, Clarkson PL, Craighead L, Strobeck C (1997) An empirical evaluation of genetic distance statistics using microsatellite data from bear (Ursidae) populations. Genetics, 147, 1943-1957.
Meirmans PG, Van Tienderen PH (2004) genotype and genodive: two programs for the analysis of genetic diversity of asexual organisms. Molecular Ecology Notes, 4, 792-794.
## Not run:
dlr <- assigner::dlr(
data = "assignment.gdv", strata = "my.strata.tsv", plots = TRUE)
# to get the plots list:
plot.list <- dlr$dlr.plots
# access and isolate in different object a plot with $
## End(Not run)
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